Executive Summary

Large enterprises in legal, publishing, finance and regulated industries are increasingly unable to prove whether contested text was authored by a human, an LLM, or a mixed workflow, exposing them to compliance risk, reputational damage and costly litigation; the global addressable market for digital forensics and content-authenticity services is roughly $12.0B (500,000 organizations at an estimated $24K ACV). What to build is a forensic-grade platform that combines provenance capture (editor and CMS telemetry, signed submission hooks), multi-layer signal analysis (stylistic forensics, keystroke/device metadata, network and timing fingerprints) and cryptographic anchors to produce an auditable, explainable human-authorship score with chain-of-evidence exports for legal use. The timing is favorable: regulatory pressure from the EU AI Act and FTC guidance, the proliferation of high-quality LLMs that raise naive-detector failure rates, and a shift in major platforms to expose pre-publication telemetry increase both demand and the feasibility of high-accuracy attribution. To stand out in a medium-competition field you must prioritize defensibility and integration rather than only accuracy—focus on explainability, forensics provenance that meets evidentiary standards, strategic CMS/editor partnerships, and a repeatable validation program with standardized challenge corpora and independent certification. Strengths include a high ACV target customer base, clear regulatory tailwinds, and a technical moat from combining telemetry and signal-level analysis; challenges are real—adversarial adaptation by model operators, privacy and data-retention constraints, and the need to build legal credibility over time. If your team can secure initial anchor customers in publishing or regulated finance to refine detection thresholds and legal playbooks, the opportunity is attractive but requires disciplined execution on integrations, interpretability and certification before scaling.

Market Opportunity

Prove human authorship for text via forensic signal analysis and provenance targets a $12.0B = 500K organizations x $24K ACV (global addressable market for digital forensics, provenance & enterprise content-authenticity services across legal, publishing, and regulated industries) total addressable market with medium saturation and a year-over-year growth rate of 18-30% (rising demand for verification, regulatory pressure, and tool adoption).

Key trends driving demand: Regulatory pressure -- Laws and guidance (EU AI Act, FTC) increase demand for verifiable provenance and auditable evidence.; Proliferation of high-quality LLMs -- More synthetic text raises false-positive/false-negative risk for naive detectors, creating demand for forensic-grade approaches.; Shift to platform telemetry -- Editors, CMSs, and collaboration suites offer hooks to collect pre-publication signals that improve attribution accuracy.; Enterprise risk management -- Reputational and legal exposure from undisclosed AI use pushes companies to adopt verification services..

Key competitors include Turnitin, Copyleaks, Adobe (Content Credentials / Adobe Firefly provenance initiatives), Truepic, Forensic linguistics / e-discovery firms (e.g., FTI Consulting, Kroll).

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Prove human authorship for text via forensic signal analysis and provenance

Executive Summary

Market Validation

Market Opportunity

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